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Zbl 0956.68133
Sanchez, Edgar N.; Perez, Jose P.
Input-to-state stability (ISS) analysis for dynamic neural networks. (English)
[J] IEEE Trans. Circuits Syst., I, Fundam. Theory Appl. 46, No.11, 1395-1398 (1999). ISSN 1057-7122

Summary: A novel approach to assess the stability of dynamic neural networks is presented. Using a Lyapunov function, we determine conditions to guarantee input-to-state stability which also ensures global asymptotic stability. The applicability of these conditions is illustrated by two examples.
MSC 2000:
*68T05 Learning and adaptive systems
92B20 General theory of neural networks

Keywords: dynamic neural networks; input-to-state stability

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